Dell Inc. Dell Tower Plus EBT2250
Geekbench AI Score
7416
Single Precision Score
8893
Half Precision Score
14095
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 19 2025 05:43 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Dell Tower Plus EBT2250 |
| Motherboard | Dell Inc. 02D3NT |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 285K |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5535
1.03 KIPS |
|
|
Image Classification (HP)
|
100% |
6515
1.21 KIPS |
|
|
Image Classification (Q)
|
100% |
9498
1.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7784
126.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2690
43.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3501
56.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
13467
15.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
34002
39.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
71549
83.8 IPS |
|
|
Object Detection (SP)
|
100% |
3050
242.0 IPS |
|
|
Object Detection (HP)
|
100% |
5498
436.1 IPS |
|
|
Object Detection (Q)
|
88% |
9488
760.7 IPS |
|
|
Face Detection (SP)
|
100% |
9858
117.1 IPS |
|
|
Face Detection (HP)
|
100% |
14058
167.0 IPS |
|
|
Face Detection (Q)
|
100% |
27744
329.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
12652
97.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
13370
103.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
25226
196.3 IPS |
|
|
Style Transfer (SP)
|
100% |
37906
48.7 IPS |
|
|
Style Transfer (HP)
|
100% |
41036
52.8 IPS |
|
|
Style Transfer (Q)
|
98% |
77852
100.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8011
295.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15945
588.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
30288
1.12 KIPS |
|
|
Text Classification (SP)
|
100% |
4116
5.49 KIPS |
|
|
Text Classification (HP)
|
100% |
1923
2.57 KIPS |
|
|
Text Classification (Q)
|
92% |
2039
2.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
1826
31.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3996
68.8 IPS |
|
|
Machine Translation (Q)
|
100% |
4075
70.2 IPS |
